AI in the Pyrenees
# AI in the Pyrenees: Server Configuration
This document details the server configuration powering the "AI in the Pyrenees" project. This project utilizes artificial intelligence for environmental monitoring and predictive analysis within the Pyrenees mountain range. This article is aimed at newcomers to our MediaWiki infrastructure and provides a technical overview of the hardware and software deployed.
Overview
The "AI in the Pyrenees" project relies on a distributed server infrastructure to process data from a network of sensors deployed throughout the mountain range. These sensors collect data on temperature, humidity, wind speed, snow depth, and wildlife activity. The data is transmitted to regional hubs, which then forward it to the central processing servers located in a secure data center. The servers employ machine learning algorithms to identify patterns, predict environmental changes, and provide alerts to relevant authorities. We utilize a hybrid cloud approach, combining on-premise servers for low-latency processing with cloud resources for scalability and long-term storage. See also Data Acquisition Systems and Sensor Networks.
Hardware Configuration
The core of our infrastructure consists of three tiers of servers: edge servers, regional hubs, and central processing servers.
Edge Servers
These servers are located near the sensor networks to provide initial data processing and filtering. They are ruggedized for harsh environmental conditions.
| Specification | Value |
|---|---|
| Processor | Intel Xeon E-2388G (8 cores, 3.2 GHz) |
| RAM | 64 GB DDR4 ECC |
| Storage | 1 TB NVMe SSD |
| Network Interface | Dual Gigabit Ethernet |
| Operating System | Ubuntu Server 22.04 LTS |
Regional Hubs
These servers aggregate data from multiple edge servers and perform preliminary analysis. They act as a gateway to the central processing servers. Consider reviewing Network Topology for more details.
| Specification | Value |
|---|---|
| Processor | AMD EPYC 7302P (16 cores, 3.0 GHz) |
| RAM | 128 GB DDR4 ECC |
| Storage | 2 x 2 TB NVMe SSD (RAID 1) |
| Network Interface | Quad Gigabit Ethernet |
| Operating System | CentOS Stream 9 |
Central Processing Servers
These servers handle the bulk of the data processing, model training, and analysis. They are housed in a secure data center with redundant power and cooling. See Data Center Security for detailed information.
| Specification | Value |
|---|---|
| Processor | Dual Intel Xeon Platinum 8380 (40 cores per processor, 2.3 GHz) |
| RAM | 512 GB DDR4 ECC |
| Storage | 8 x 4 TB NVMe SSD (RAID 6) + 100 TB HDD Array |
| Network Interface | Dual 10 Gigabit Ethernet |
| GPU | 4 x NVIDIA A100 (80GB) |
| Operating System | Red Hat Enterprise Linux 8 |
Software Configuration
The software stack is built around Python and various machine learning libraries. Review Software Dependencies for a complete list.
- Programming Language: Python 3.9
- Machine Learning Libraries: TensorFlow, PyTorch, scikit-learn
- Data Storage: PostgreSQL 14 with PostGIS extension
- Data Visualization: Grafana, Jupyter Notebook
- Message Queue: RabbitMQ
- Containerization: Docker, Kubernetes (for scalability and deployment)
- Monitoring: Prometheus, Nagios
- Data Flow Diagram
- Database Schema
- API Documentation
- Troubleshooting Guide
- Backup and Recovery Procedures
- Telegram: @powervps Servers at a discounted price
Network Architecture
The network is a hybrid VPN and direct connection setup. Edge servers communicate with regional hubs via encrypted VPN tunnels. Regional hubs have direct, high-bandwidth connections to the central processing servers. Firewall rules are strictly enforced to ensure data security. Please consult Firewall Configuration for details. The network also utilizes a Content Delivery Network (CDN) to distribute processed data and visualizations. See CDN Implementation for additional information.
Security Considerations
Security is paramount. All data transmission is encrypted using TLS/SSL. Access to servers is restricted using SSH keys and multi-factor authentication. Regular security audits are conducted to identify and address vulnerabilities. We adhere to the principles outlined in Security Best Practices. Intrusion detection systems (IDS) and intrusion prevention systems (IPS) are deployed throughout the network. A detailed security report is available on the Security Reports page.
Future Expansion
We plan to expand the infrastructure to include more edge servers and enhance the capabilities of the central processing servers. We are also exploring the use of edge computing to reduce latency and improve responsiveness. Future plans are documented in Project Roadmap.
Related Pages
Intel-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Core i7-6700K/7700 Server | 64 GB DDR4, NVMe SSD 2 x 512 GB | CPU Benchmark: 8046 |
| Core i7-8700 Server | 64 GB DDR4, NVMe SSD 2x1 TB | CPU Benchmark: 13124 |
| Core i9-9900K Server | 128 GB DDR4, NVMe SSD 2 x 1 TB | CPU Benchmark: 49969 |
| Core i9-13900 Server (64GB) | 64 GB RAM, 2x2 TB NVMe SSD | |
| Core i9-13900 Server (128GB) | 128 GB RAM, 2x2 TB NVMe SSD | |
| Core i5-13500 Server (64GB) | 64 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Server (128GB) | 128 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Workstation | 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 |
AMD-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Ryzen 5 3600 Server | 64 GB RAM, 2x480 GB NVMe | CPU Benchmark: 17849 |
| Ryzen 7 7700 Server | 64 GB DDR5 RAM, 2x1 TB NVMe | CPU Benchmark: 35224 |
| Ryzen 9 5950X Server | 128 GB RAM, 2x4 TB NVMe | CPU Benchmark: 46045 |
| Ryzen 9 7950X Server | 128 GB DDR5 ECC, 2x2 TB NVMe | CPU Benchmark: 63561 |
| EPYC 7502P Server (128GB/1TB) | 128 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/2TB) | 128 GB RAM, 2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/4TB) | 128 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/1TB) | 256 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/4TB) | 256 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 9454P Server | 256 GB RAM, 2x2 TB NVMe |
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️